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caffe搭建--opensuse13.2上搭建caffe开发环境

2017-07-04 11:19 141 查看
第一部分:参考一下内容。将sudo 替换成zypper即可。

--------------------------------------------这部分参照以下官网内容-------------------------------------------------------------------------------

RHEL / Fedora / CentOS Installation

General dependencies

sudo yum install protobuf-devel leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel


Remaining dependencies, recent OS

sudo yum install gflags-devel glog-devel lmdb-devel


Remaining dependencies, if not found

# glog
wget https://storage.googleapis.com/google-code-archive-downloads/v2/code.google.com/google-glog/glog-0.3.3.tar.gz tar zxvf glog-0.3.3.tar.gz
cd glog-0.3.3
./configure
make && make install
# gflags
wget https://github.com/schuhschuh/gflags/archive/master.zip unzip master.zip
cd gflags-master
mkdir build && cd build
export CXXFLAGS="-fPIC" && cmake .. && make VERBOSE=1
make && make install
# lmdb
git clone https://github.com/LMDB/lmdb cd lmdb/libraries/liblmdb
make && make install


Note that glog does not compile with the most recent gflags version (2.1), so before that is resolved you will need to build with glog first.

CUDA: Install via the NVIDIA package instead of
yum
to be certain of the library and driver versions. Install the library and latest driver separately; the driver bundled with the library is usually out-of-date. + CentOS/RHEL/Fedora:

BLAS: install ATLAS by
sudo yum install atlas-devel
or install OpenBLAS or MKL for better CPU performance. For the Makefile build, uncomment and set
BLAS_LIB
accordingly as ATLAS is usually installed under
/usr/lib[64]/atlas
).

Python (optional): if you use the default Python you will need to
sudo yum install
the
python-devel
package to have the Python headers for building the pycaffe wrapper.

Continue with compilation.

-------------------------------------------------------注意事项-------------------------------------------------------------------

问题1: numpy开发包可能会缺少,也就是没有头文件

sudo zypper install python-numpy-devel 这个以外的给力了。 在ubuntu和fedora上都没有这个情况的。

问题2: gflags 需要手动下载安装。即不能使用zypper大法。

---------------------------------------------附件:部分细节------------

完全按照第一部分是不行的。有些包需要有些名称上或其他的安装的变化。

sudo zypper install python-numpy-devel

sudo zypper install leveldb-devel snappy-devel opencv-devel boost-devel hdf5-devel

sudo zypper install atlas-devel

sudo zypper install atlas* 点N

sudo zypper install *atlas* 点N

sudo zypper install python python-devel python-numpy python-scipy python-sklearn 其中sklearn不能装

wget https://github.com/schuhschuh/gflags/archive/master.zip
sudo zypper install protobuf-devel
sudo zypper install glog-devel lmdb-devel

------------------------------------又附结果:----------------------------------

[100%] Built target classification
[100%] Built target convert_cifar_data
[100%] Built target convert_mnist_data
[100%] Built target convert_mnist_siamese_data
[100%] Building CXX object python/CMakeFiles/pycaffe.dir/caffe/_caffe.cpp.o
Linking CXX shared library ../lib/_caffe.so
Creating symlink /home/sea/caffe-master/python/caffe/_caffe.so -> /home/sea/caffe-master/build/lib/_caffe.so
[100%] Built target pycaffe

-- Installing: /home/sea/caffe-master/build/install/python/caffe/io.py
-- Installing: /home/sea/caffe-master/build/install/python/caffe/net_spec.py
-- Installing: /home/sea/caffe-master/build/install/python/caffe/pycaffe.py
-- Installing: /home/sea/caffe-master/build/install/python/caffe/proto
-- Installing: /home/sea/caffe-master/build/install/python/caffe/proto/__init__.py
-- Installing: /home/sea/caffe-master/build/install/python/caffe/proto/caffe_pb2.py
-- Installing: /home/sea/caffe-master/build/install/python/caffe/_caffe.so
-- Set runtime path of "/home/sea/caffe-master/build/install/python/caffe/_caffe.so" to "/home/sea/caffe-master/build/install/lib:/usr/local/cuda/lib64"
sea@linux-61bx:~/caffe-master/build> ls
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